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URL Canonicalization — Record Quality Audit + String Normalisation + Two-Measure Correlation
x402
URL Canonicalization — Record Quality Audit + String Normalisation + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Audits quality, normalises strings, and computes correlation between observed_urls and unique_urls fields across up to 200 URL canonicalization records.
Price / call$0.01
Success—
StatusUnknown
How this service works
URL canonicalization — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied url canonicalization records (observed_urls, unique_urls). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports: (1) a record quality audit identifying missing values, invalid formats, or outliers in the supplied rows; (2) a string normalisation report flagging or correcting inconsistencies in string fields like site_group; and (3) a two-measure correlation report quantifying the statistical relationship between observed_urls and unique_urls across all supplied records.
Example use cases
URL data quality check for SEO team
“I have a CSV of URL canonicalization records — each row has a site group, date, observed URL count, and unique URL count. Can you audit the data quality, normalise the string fields, and tell me if observed and unique URL counts are correlated?”
Anomaly detection in URL tracking pipeline
“We collect daily observed_urls and unique_urls stats per site group and I want to know if there are any record quality issues, weird string formatting, or unexpected patterns in the correlation between the two metrics — can you run all three reports on up to 200 rows?”
Pre-analysis validation of URL canonicalization dataset
“Before I hand this URL canonicalization dataset off to the analytics team, can you do a quality audit, string normalisation check, and a two-measure correlation between observed_urls and unique_urls across all the rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-20-204?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have URL canonicalization tracking data with observed_urls and unique_urls fields and need three bundled analytical reports — quality audit, string normalisation, and correlation — without requiring any live lookups, external data, or predictions. It is cost-effective at $0.01 for up to 200 rows and three reports simultaneously. Prefer it over single-purpose audit or correlation tools when you need all three analyses on the same dataset in one call.
Side effects
- Empty rows array or fewer than 1 row returns a validation error
- More than 200 rows submitted causes a rejection due to row limit
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Non-numeric or out-of-range values for observed_urls or unique_urls may be flagged or rejected
- Missing required fields (row_id, site_group, date, observed_urls, unique_urls) cause request rejection
- Payment of 0.01 USDC not included or declined results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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